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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Управление авторским коллективом как компетенция академического письма

Высшее образование в России. 2020. № 5. С. 73–84.
Safonova M., Сафонов А. А.

Working on projects in co-authorship rather than individually is becoming an increasingly attractive option for many members of the Russian academic community. The reasons lie in the fact that collaboration allows reducing administrative, financial, and temporal expenses. For instance, the recent events concerning the coronavirus require prompt and effective methods of exchanging data to publish works on medicine and microbiology, without arousing any disputes of an organisational or legal kind. Embracing a broad area of linguistic and cultural knowledge, academic writing can also intend to develop people’s awareness of such problems as models of co-authorship, horizontal and vertical types of academic co-operation, functions assigned to members of collaborative groups at different stages of writing and publishing a text, whole ownership and that of individual contributions. The ambiguous interpretation of the concept ‘creative contribution’ provided by the Civil Code of the Russian Federation often impedes cooperation among co-authors, which demonstrates the need to consider legal and organisational points concerning co-publications in academic writing courses, the goal being to prevent future co-authors from potential conflicts and assisting them in managing their work efficiently.

Priority areas: humanitarian
Language: Russian
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Keywords: академическое письмоacademic writingавторский коллективacademic managementcollaborative writinggroup of authorsакадемический менеджментколлективная публикация
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